Large language models (LLMs) show significant potential in healthcare,
prompting numerous benchmarks to evaluate their capabilities. However, concerns
persist regarding the reliability of these benchmarks, which often lack
clinical fidelity, robust... read more
The diagnosis of medical diseases faces challenges such as the misdiagnosis
of small lesions. Deep learning, particularly multimodal approaches, has shown
great potential in the field of medical disease diagnosis. However, the
differences in dimens... read more
Multimodal Recommender Systems aim to improve recommendation accuracy by
integrating heterogeneous content, such as images and textual metadata. While
effective, it remains unclear whether their gains stem from true multimodal
understanding or incr... read more
BACKGROUND: Parkinson disease (PD) is the fastest-growing neurodegenerative disorder in the world, with prevalence expected to exceed 12 million by 2040, which poses significant health care and societal challenges. Artificial intelligence (AI) system... read more
Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing
Aug 6, 2025
Brugada Syndrome (BrS) is an inherited cardiac ion channelopathy associated with an elevated risk of sudden cardiac death, particularly due to ventricular arrhythmias in structurally normal hearts. Affecting approximately 1 in 2,000 individuals, BrS ... read more
Zero-shot learning methods are used to recognize objects of unseen categories. By transferring knowledge from the seen classes to describe the unseen classes, deep learning models can recognize unseen categories. However, relying solely on a small la... read more
Steel defect detection is a crucial aspect of steel production and quality control. Therefore, focusing on small-scale defects in complex production environments remains a critical challenge. To address this issue, we propose an innovative perception... read more
The dynamic environment of laboratories and clinics, with streams of data
arriving on a daily basis, requires regular updates of trained machine learning
models for consistent performance. Continual learning is supposed to help train
models without... read more
Rare diseases, such as Mucopolysaccharidosis (MPS), present significant challenges to the healthcare system. Some of the most critical challenges are the delay and the lack of accurate disease diagnosis. Early diagnosis of MPS is crucial, as it has t... read more
IEEE journal of biomedical and health informatics
Aug 6, 2025
As the population of older adults continues growing, so will the need for cost-effective approaches to early dementia detection. Deep learning approaches using patient speech samples show promising results. This systematic review examines studies uti... read more
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